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MongoDB Unveils Vector Search and AI Capabilities for Self-Managed Data Centers

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MongoDB Brings Vector Search & AI Applications to Self-managed Data Centers

MongoDB has integrated search and vector search capabilities into its Community Edition and Enterprise Server, previously exclusive to the MongoDB Atlas cloud platform. This public preview allows developers and organizations to leverage powerful full-text search and vector search features locally, enhancing their ability to build real-time, AI-driven applications seamlessly within their environments. The new capabilities enable semantic information retrieval, hybrid search for accurate results, and long-term memory storage for AI agents, streamlining app development by reducing reliance on external search engines. Collaborations with partners like LangChain and LlamaIndex have validated these features, highlighting their importance in modern applications. With over 74% of organizations planning to adopt integrated vector databases by 2025, MongoDB’s enhancements respond to the evolving demands for intelligent, context-aware solutions. Developers can easily transition to MongoDB Atlas for scalability and security as their applications grow. Explore these capabilities further on the MongoDB blog.

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